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Senior Data Scientist

Verisk Analytics
3 days ago
Full-time
On-site
United Kingdom
Data Scientist
Description

 

Working as a Data Scientist at Verisk means: 

  • Being part of and contributing to a large, vibrant community  

  • Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, Geopolitical Security  

  • Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to those business problems 

  • Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, 95%+ of Credit Cards transactions in the US and UK, 7 million+ Safety Data Sheets, and Information on 3 million+ oil and gas wells 

  • Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis 

  • Working with cutting-edge technology, and continuously developing new skills and capabilities 

 

Purpose of the role 

  • Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.  

  • Development of analytic interns (that you are responsible for) 

  • Contribute to the development of the Verisk Analytic Community 

 

Primary Goals to Be Assured  

  • The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. 

  • The incorporation of technical innovations and new developments in relevant analytic fields  

  • The development of analytic interns (that you are responsible for) 

  • The sharing of important methodologies, advances, and best practices from your work among the whole analytics community 



Responsibilities

 

The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. 

  • Develop analytic solutions using machine learning techniques including Predictive Modeling, Computer Vision and Generative AI. 

  • Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.  

  • Ensure that solution is delivered in a timely manner.  

 

The incorporation of technical innovations and new developments in relevant analytic fields  

  • Keep abreast of technical innovations and new developments in relevant analytic fields 

 

The development of analytic interns that you are responsible for 

  • Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for 

 

The sharing of important methodologies, advances, and best practices from your work among the whole analytic community 

  • Help organize these forums for developing Verisk’s analytic community 

  • Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums 

 

Success Criteria 

  • Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc 

  • Positive feedback on the support received from business partners  

  • Advancement of analytic interns that you are responsible for  

  • Positive feedback from analytic interns that you are responsible for  

  • Positive feedback from team members and leaders of the Verisk analytic community



Qualifications

  1.  

  • Bachelors in quantitative field with 5-8 years of relevant experience, or Masters in quantitative field with 3-5 years of relevant experience, or PhD in quantitative field with 0-2 years relevant experience 

  • Strong programming skills, particularly in Python 

  • Ability to solve problems analytically and creatively  

  • Strong communication (written and oral) skills 

  • An in depth of knowledge of Computer Vision & Machine Learning 

  • Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases 

  • Knowledge of the Auto industry and Auto Insurance would a bonus but not requiredÂ